{"id":"W2126835201","doi":"10.1139/x04-101","title":"Conversion of fuel moisture content values to ignition potential for integrated fire danger assessment","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":157,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ignition system; Environmental science; Water content; Fire control; Fire protection; Geographic information system; Engineering; Civil engineering; Remote sensing; Geography; Cartography; Aerospace engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001649429,0.0001049429,0.0002102372,0.0002528082,0.0001731775,0.00005827342,0.0003788945,0.00009234216,0.0002762661],"category_scores_gemma":[0.0003186036,0.00008626842,0.0001089501,0.0003529429,0.0002095359,0.0002071441,0.00003632936,0.0003362379,0.0000431814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001776263,"about_ca_system_score_gemma":0.0006541459,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07077432,"about_ca_topic_score_gemma":0.105704,"domain_scores_codex":[0.9982439,0.0001490858,0.0003340449,0.0001640559,0.0006608355,0.0004480817],"domain_scores_gemma":[0.9985529,0.00009271778,0.0001297507,0.0001657452,0.0003395857,0.0007192756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001579046,0.000862183,0.5737988,0.001349816,0.0005365824,0.002166923,0.00899596,0.05027913,0.1807127,0.001561053,0.1285698,0.04958801],"study_design_scores_gemma":[0.004309794,0.005712025,0.9448384,0.001062033,0.00005622984,0.0002397947,0.002843838,0.00316119,0.01317416,0.003158425,0.02101946,0.0004246704],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953814,0.00009205232,0.001611012,0.001350513,0.0003338998,0.0006592016,0.00006143254,0.00000294847,0.0005075188],"genre_scores_gemma":[0.998243,0.000007620795,0.00135108,0.00006073995,0.00009114129,0.00001594071,0.0000143885,0.00001579156,0.0002003432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3710396,"threshold_uncertainty_score":0.9354135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03415279424458602,"score_gpt":0.2998251722303464,"score_spread":0.2656723779857604,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}